THE UNIVERSITY OF LEIPZIG
THE UNIVERSITY OF LEIPZIG
THE UNIVERSITY OF LEIPZIG
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6 Institutional Mapping at the Local Level<br />
6.1 Sample size determination and identification of clusters<br />
A total of 220 farmers were interviewed in a local institutional mapping household survey<br />
conducted in villages around Kakamega Forest. The survey respondents, who were<br />
predominantly farmers, are spread in the different clusters that were statistically constituted<br />
by the district statistical office in Kakamega. These clusters also fall under the sampling frame<br />
that is used by Kenya Central Bureau of Statistics. The usual sampling procedure in Kenya<br />
consists of randomised selection of clusters corresponding with enumeration areas within a<br />
master sample, with a probability equivalent to size in the number of households in every<br />
selected cluster. In each cluster, there are 168 house holds.<br />
Therefore, delectation of clusters was based on the sampling frame developed by the National<br />
Sample Survey Evaluation Programme (NASSEP III). The NASSEP III sampling frame is a<br />
two-stage stratified cluster sample design with individual districts forming the strata. In this<br />
regard, Kakamega District has 26 clusters. From these, 11 clusters were identified for the<br />
survey. These clusters eventually provided the principle sampling points. The Principle<br />
Sampling Point (PSP) was a village commonly known as a location. These clusters were<br />
purposively sampled given their location and proximity to the forest.<br />
Because the survey intended to investigate the role of local notions in institutional framing,<br />
clusters with localities in or around the forest were found to be useful. Hence the areas around<br />
the forest were deliberately represented in the sample. In each cluster, two villages were<br />
visited and in each village, 10 households were randomly chosen and interviewed. Hence,<br />
from each cluster 20 households were interviewed. In total 220 house holds were sampled.<br />
The sample size for the house holds to be covered in the local mapping survey was<br />
statistically determined based on a precision of 5% and a confidence level of 95%. 595<br />
On top of data collected from the individual household respondents, 11 focus group<br />
discussions were held to augment the quantitative data.<br />
Having processed the sample size, the survey team proceeded to identify the eligible<br />
enumeration areas. It is important to point out that each cluster contained 168 house holds.<br />
These clusters are thought to represent the different geographical scope of the district.<br />
However, these same clusters also take into consideration different other aspects such as<br />
semi-urban/rural stratifications, economic and social differentiations as well as livelihood<br />
zonations. 596<br />
Based on the assumption that local notions are more understood and appreciated by household<br />
heads, the interviews were restricted to the two household heads. In the survey, either the<br />
husband or wife was taken as the respondent. The average distance was 4 kilometres from<br />
Kakamega forest. This distance was ascertained by making rough approximation by the<br />
survey enumerators. In the survey the mean number of adults residing in a particular<br />
595 Bartllett, J.E, J.W, Kotrlik and Higgins, C. 2001. Opcit.<br />
596 CBS. 2006. Kenya Economic survey. Nairobi: Government Printer<br />
126